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BACKGROUND: Atlantoaxial dislocation is often facilitated by interlaminar bone grafting. However, there are relatively few reports on the treatment of complex atlantoaxial dislocation with posterior atlantoaxial lateral mass interarticular release and fusion. OBJECTIVE: To explore the safety and effectiveness of atlantoaxial dislocation treated by simple posterior atlantoaxial lateral block interarticular release and fusion. METHODS: We retrospectively analyzed the clinical data of 30 patients with atlantoaxial dislocation who were treated from January 2017 to July 2021, all of whom suffered from reducible atlantoaxial dislocation. Posterior atlantoaxial lateral mass interarticular release and fusion were performed in all patients. During the surgery, patented instruments were used to release the atlantoaxial lateral mass joint, and posterior screw reduction and fixation were used with bone grafting in the lateral mass joint space. The postoperative follow-up period was 6 to 24 months, mean (13.0±5.4) months. During the follow-up period, cervical MRI was reviewed to observe the decompression of the upper cervical spine. X-ray films and CT scans were reviewed to observe the reduction of the upper cervical spine, as well as the internal fixation for looseness and breakage. CT scans were reviewed to assess interlateral block implant fusion. The Japanese Orthopaedic Association score was used to evaluate the improvement of spinal cord function. The neck disability index and the quality of life scale were used to assess the improvement of daily life function. The atlanto-anterior interspace and atlanto-planar spinal effective space were used to evaluate atlantoaxial repositioning and decompression. RESULTS AND CONCLUSION: (1) The surgery of 30 patients went smoothly, and no serious complications such as spinal nerve and vertebral artery injuries occurred during the operation. Postoperative review of cervical MRI showed that the spinal cord compression was lifted. X-ray film and CT showed that the atlanto-anterior gap was significantly reduced; the effective space of atlantoaxial spinal cord was significantly increased, and neurological dysfunctional symptoms were significantly reduced. (2) During the follow-up period, X-ray film and CT showed that the internal fixation was solid; no broken nails or rods occurred, and there was no recurrence of atlantoaxial dislocation. (3) The Japanese Orthopaedic Association scores, neck disability index, and quality of life scores were significantly improved at the last follow-up compared with the preoperative period (P < 0.05). The average improvement rate of Japanese Orthopaedic Association scores at the last follow-up was 73.1%. The average neck disability index was 8.80%. All of the patients had a continuous bone-scalp connection between atlantoaxial lateral block joints to achieve osseous fusion. (4) These findings indicate that the use of simple posterior atlantoaxial lateral block interarticular release and fusion for the treatment of atlantoaxial dislocation can significantly increase the fusion rate and shorten the fusion time. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Shanghai University of Sport is the property of Editorial Department of Journal of Shanghai University of Sport and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Nitrogen is a key nutrient for crop growth. Excessive or insufficient nitrogen affects crop growth, yield, and quality. Additionally, excessive nitrogen fertilizer can cause soil and water pollution. Applying panicle fertilizer during the late jointing stage can promote rice panicle growth. Therefore, accurately and timely monitoring of nitrogen status in rice fields during the late jointing stage and timely optimizing fertilization strategies is crucial for ensuring rice yield and environmental protection. This paper integrates multimodal data from unmanned aerial vehicle (UAV) remote sensing and ground observations to construct inversion models for leaf nitrogen content (LNC) and plant nitrogen content (PNC) of rice at the late jointing stage. The research was conducted at the Shapu Experimental Base of the Agricultural Science Research Institute in Zhaoqing City, Guangdong Province, with two field experiments carried out during the late rice seasons of 2021 and 2022. Each of Experiment 1 (2021) and Experiment 2 (2022) included 30 experimental plots, designed with 5 nitrogen fertilizer gradients, 2 planting densities, and 3 replications. Phosphorus and potassium fertilizers were applied uniformly across all plots. UAVs equipped with multispectral and RGB cameras were used to acquire remote sensing images of rice canopies during the late jointing stage. Vegetation indices (VIs) and texture feature values (TFVs) were extracted from the multispectral images, with TFVs derived using the gray level co-occurrence matrix (GLCM) method. Texture indices (TIs) were then constructed by combining TFVs. RGB images were used to generate digital surface models (DSM) for bare ground (pre-transplant) and rice fields (late jointing stage). These DSMs, combined with ground reference methods, were used to construct crop surface models (CSM) to derive estimated canopy heights (ECH) for each plot. Manually collected data included measured canopy height (MCH) and field nitrogen management data (FN) used as ground observations. For each experimental plot, three representative rice plants were selected as samples. After removing the roots, the leaves and stems were separated and dried at 85℃ to a constant weight, which was recorded as the aboveground biomass of the leaves and stems. The true values of leaf nitrogen content and stem nitrogen content were obtained using the Kjeldahl method. Combining these values with the dry weight data, the true values of plant nitrogen content were calculated. The maximal information coefficient (MIC) was used as an evaluation metric for feature assessment and selection. Random forest regression algorithms were employed to construct inversion models for rice LNC and PNC, respectively, using the coefficient of determination (R2), root mean squared error (RMSE), and mean absolute error (MAE) as model evaluation metrics. The analysis and experimental results indicate: TIs constructed using combinations of TFVs significantly enhanced the correlation between texture information and LNC and PNC. When the UAV flight height was 100 m, the Ratio Texture Index constructed using a 9×9 sliding window size in the GLCM method showed the best performance, improving the MIC value by 11.48% compared to the best TFV. For conventional machine-transplanted rice planting density, the correlation between TIs and LNC and PNC was best when the GLCM sliding window size was set to 9×9 or 11×11 at a UAV flight height of 100 m. The ECH derived from the CSM showed a high correlation with the manual MCH in the field. Including canopy height (MCH or ECH) as an input feature in the random forest regression model significantly improved the inversion accuracy of rice nitrogen content. The ECH extracted from the CSM showed high estimation accuracy (R² = 0.77, RMSE = 3.4 cm, MAE = 2.8 cm). The inclusion of canopy height (MCH or ECH) in the model construction improved the inversion accuracy for PNC more significantly compared to LNC. Integrating UAV remote sensing and ground observation multimodal data, the random forest regression algorithm significantly improved the inversion accuracy of rice LNC and PNC at the late jointing stage. Considering both inversion accuracy and operational convenience, it is recommended to use a feature combination of VI+TI+ECH+FN in field production. Compared to using VI alone, this feature combination improved R² by 6.73%, and reduced RMSE and MAE by 13.62% and 14.68%, respectively, for LNC inversion. For PNC inversion, R2 was improved by 12.53%, and RMSE and MAE were reduced by 22.09% and 19.80%, respectively. The results demonstrate that constructing random forest regression models by integrating UAV remote sensing and ground observation multimodal data can accurately detect rice LNC and PNC, providing a scientific basis for rice field management and fertilization decision-making. [ABSTRACT FROM AUTHOR]

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Copyright of Ordnance Industry Automation is the property of Editorial Board for Ordnance Industry Automation and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

[Introduction] The purpose of this study is to explore the impact of the spatial magnetic field generated by nuclear fusion devices on magnetic devices and to gain an in-depth understanding of the magnetic field shielding characteristics in a complex electromagnetic environment. [Method] In the research process, the switch power supply and electronic transformer in the nuclear fusion internal power supply system were selected as the specific research objects. By analyzing in detail the impact of the magnetic field on the loss and the characteristic changes under different directions of the magnetic field, as well as by exploring the key factors affecting the magnetic field shielding effectiveness and the application of different materials, the research objectives were achieved. [Result] The results indicate that the loss of magnetic components significantly increases in a strong magnetic field environment, and the degree of influence of different directions of magnetic fields on component characteristics varies. By comparing and analyzing the shielding effects of different materials, it is found that materials with high conductivity and magnetic permeability have better application prospects in shielding design. Additionally, optimizing the shielding structure can further improve shielding effectiveness and reduce the impact of magnetic fields on magnetic components. [Conclusion] By systematically analyzing the impact of strong magnetic fields on magnetic components and the shielding effectiveness of nuclear fusion devices, key references are provided for testing the equipment's magnetic field tolerance and verifying shielding design. Future work will focus on further optimizing shielding materials and structural design to improve the stability and reliability of magnetic components in strong magnetic field environments.

[Introduction] The inertial electrostatic confinement (IEC) fusion facility is a small fusion device. This paper aims to solve the problems of IEC fusion devices, such as the cathode melting, the very low Q value, and so on. [Method] This paper first analyzed the reasons for these problems, and then a new type of inner ion source IEC fusion was proposed to decrease the ion loss during the confinement process, solve the cathode melting, and increase the vacuum in the device and the Q value. [Result] At last, the improvement of neutron yield is qualitatively analyzed through the estimation, the very complex ion motion inside the fusion device is simulated through numerical simulation calculation, and anisotropic ion motion trajectories are obtained. [Conclusion] Based on estimation and numerical simulation results, the feasibility of the IEC with an inner ion source is confirmed, which can solve the problems of cathode melting and low Q value.

Mitochondria are an indispensable component of multicellular life. They undergo morphological changes and spatial rearrangement to meet the needs of cells and maintain energy balance through fusion and fission, a process called mitochondrial dynamics. A large number of studies have shown that mitochondria participate in a variety of cell biological processes such as apoptosis, cell proliferation, cell migration, and energy metabolism through fusion and fission. In recent years, respiratory diseases have become a major global health problem. Recent studies have found that mitochondrial dynamics disorder plays an important role in the formation of many respiratory diseases. The study of mitochondrial dynamics disorders provides a new perspective for the formation mechanism of respiratory diseases. [ABSTRACT FROM AUTHOR]

In the field of deep learning, solving problems often requires combining multiple modal information for reasoning and decision-making, among which visual and language information are two important modalities in the interaction process. In many application scenarios, processing multi-modal tasks often faces problems such as complex model architecture organization and inefficient training methods. Based on the above problems, this paper reviewed the representative achievements in the field of multimodal image text in the past five years. This paper first started from the mainstream multi-modal tasks and introduced related text and image multi-modal datasets and pre-training targets. Secondly, considering the visual language model based on Transformer and the feature extraction method, this paper analyzed from the perspectives of multi-modal organization architecture and cross-modal fusion methods, and summarized and compared the commonalities and differences of different processing strategies. Then it introduced the lightweight method of the model from data input, structural components and other aspects. Finally, it prospected the future research direction of multimodal methods based on image text. [ABSTRACT FROM AUTHOR]

Copyright of Southern Energy Construction is the property of Southern Energy Construction Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Southern Energy Construction is the property of Southern Energy Construction Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Henan Agricultural Sciences is the property of Editorial Board of Journal of Henan Agricultural Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Southeast University / Dongnan Daxue Xuebao is the property of Journal of Southeast University Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to improve the completeness of the extraction of urban buildings and eliminate the influence of plants, a building extraction method combining vector angle difference and fitting curve was proposed. This method took the scan line as the research object, the flat roof was extracted by calculating the angle difference of adjacent direction vectors. The curve fitting was used to calculate the residual value of the data points in the same scan line, and the residual threshold was established based on most sampling samples to extract the curved roof. Finally, the building was extracted through refined post-processing. A typical urban experimental area data set was selected, and a control experiment was conducted with the mature triangulated irregular network (TIN). The results show that the proposed method can more effectively extract curved buildings and restrain the influence of plants, the overall accuracy of the survey area and kappa coefficient are 98. 96% and 0. 9148, respectively, which are better than the TIN algorithm. The proposed method has the characteristics of simple operation and high stability, and provides an idea for effectively solving the problem of building roof extraction with complex curvature and sudden height difference. [ABSTRACT FROM AUTHOR]

It is difficult to collect complete structural texture information quickly and efficiently with a single modeling method considering the unique architectural forms of iconic buildings in urban areas. In order to solve this problem, manual removal if fully used in multiple data sources in large areas of deformation, a combination of coarse and ICP fine registration methods were used to stitch data and unify fused data in the same coordinate system together. This method not only guarantees the integrity of textural and structural information of the unique buildings collected by ground-based LiDAR, but also resolves issues such as distortion and deformation which is caused by self-occlusion during the collection of building information by UAV. Results show that the fused geometric and textural information of the unique buildings is more refined and complete than the unfused. It optimizes the process of modeling unique buildings. [ABSTRACT FROM AUTHOR]

In advanced non-small cell lung cancer (NSCLC), V-Raf murine sarcoma viral oncogene homolog B1 (BRAF) mutation is highly malignant and has poor prognosis, and currently Dabrafenib in combination with Trametinib is approved for first-line treatment of patients with BRAF V600 mutation. In addition to mutations, BRAF fusion can also occur. With the development of gene detection, the detection of BRAF fusion is gradually increasing, but there is a lack of effective therapeutic strategies for BRAF fusion. In this paper, we review the clinical characteristics, mechanism of action, and clinical treatment of BRAF fusion to provide a basis for the treatment of BRAF fusion in NSCLC patients.

This paper proposed a fusion object detection algorithm based on sensor data features to further reduce the false detection rate of target detection. Firstly, it used statistical filters to filter the original LiDAR point cloud to reduce the influence of some outlier noise points on the accuracy of point cloud expression. Then, it proposed a ground segmentation algorithm with adaptive slope threshold to solve the problem that fixed threshold would lead to unsatisfactory segmentation when the slope of point cloud ground segmentation changed. Finally, it established a KD(k-dimensional) tree index. It projected the LiDAR-detected 3D target point cloud into the image and match the projection bounding box and the image detection target bounding box by IoU association. It proposed a decision-level-based 3D LiDAR and visual image information fusion algorithm. The test results using the KITTI dataset show that the proposed fusion algorithm reduces the average time spent on point cloud clustering to 173 ms, which is 6% more accurate than the traditional Euclidean distance clustering. The experimental results based on the measured data show that the proposed fusion algorithm reduces the target false detection rate by about 10% compared to the YOLO v4 network. [ABSTRACT FROM AUTHOR]

Important concepts in leadership management related to the field of medical care management include servant leadership, charismatic leadership, and transformational leadership. Since the 2020 emergence of the coronavirus pandemic, the world has faced the immediate challenges of epidemic prevention and control. Although national government and medical system officials as well as scholars have weighed in on this issue, their leadership does not appear to line up the core ideas of leadership. Daft and Lengel (2000) examined the influence of fusion leadership on individuals and organizations. The fusion of many nuclei of leadership intentions will produce great power and influence. To elucidate the concept of integrated leadership for individuals and organizations in the post-pandemic healthcare system, this paper summarizes the defining characteristics of fusion leadership based on the conceptual analysis method of Walker and Avant (2019). Concurrently, we confirm the antecedents and consequences of fusion leadership, use different cases to illustrate the analysis, and share the reference indicators and measurements of fusion leadership to provide a reference for healthcare system administrators. [ABSTRACT FROM AUTHOR]

Ensemble learning has always been one of the strategies to build a powerful and stable predictive model.It can improve the accuracy and stability of the results by fusing multiple models.However,existing ensemble methods still have certain shortcomings in the calculation of weights.When facing a variety of classification problems,they cannot adaptively select ensemble weights,and they are not universal.In view of the above problems,a universal multi-class ensemble method with self-adaptive weights(UMEAW) is proposed.Different to usual ensemble classification method that only targets one kind of classification task,when facing different classification problems,firstly,UMEAW calculates the weight allocation coefficient according to the number of classification,and then the weights of base classifiers is automatically calculated according to the model evaluation index and the weight allocation coefficient by using the distribution characteristics of exponential function.Finally,the weights is adjusted adaptively through continuous iteration to realize model ensemble under different classification tasks.Experimental results show that UMEAW can achieve model ensemble on 9 datasets with different classification numbers,different fields and different scales,and the effect of UMEAW is better than the baselines in most tasks.Compared with a single model,F1 value increases by 3%~25% after UMEAW fusion.Compared with other ensemble methods,the F1 value improves by 1%~2%.It is proved that UMEAW is universal and effective.

Multimodal emotion recognition aims to recognize human emotional states through different modalities related to human emotion expression such as audio, vision, text, etc. This topic is of great importance in the fields of human-computer interaction, a.pngicial intelligence, affective computing, etc., and has attracted much attention. In view of the great success of deep learning methods developed in recent years in various tasks, a variety of deep neural networks have been used to learn high-level emotional feature representations for multimodal emotion recog-nition. In order to systematically summarize the research advance of deep learning methods in the field of multi-modal emotion recognition, this paper aims to present comprehensive analysis and summarization on recent multi-modal emotion recognition literatures based on deep learning. First, the general framework of multimodal emotion recognition is given, and the commonly used multimodal emotional dataset is introduced. Then, the principle of representative deep learning techniques and its advance in recent years are briefly reviewed. Subsequently, this paper focuses on the advance of two key steps in multimodal emotion recognition: emotional feature extraction methods related to audio, vision, text, etc., including hand-crafted feature extraction and deep feature extraction; multi-modal information fusion strategies integrating different modalities. Finally, the challenges and opportunities in this field are analyzed, and the future development direction is pointed out.

[Introduction] Based on the power output characteristics of China Fusion Engineering Experimental Reactor(CFETR) and under the condition of the maximum thermal power 1.25 GW, this paper aims to provide a conceptual design scheme of CFETR fusion power plant. [Method] To resolve the confliction between the periodic long pulse output characteristics of CFETR fusion reactor and the continuous stable input requirements of conventional island equipment, the energy storage technology scheme was adopted to realize the safe and stable operation of CFETR fusion power generation in the way of “peak cutting and valley filling” .We discussed energy storage under two different cladding schemes of CFETR fusion water cooling and helium cooling, as well as the combination scheme of coupling and decoupling operation modes between primary and secondary circuits. Through scheme comparison, the optimal energy storage operation combination corresponding to different cladding of CFETR fusion reactor was given. [Result] The results show that the best combination scheme of water-cooled cladding and helium cooled cladding fusion reactor is heat transfer oil + decoupled heat storage scheme and molten salt + coupled heat storage scheme. [Conclusion] From the conventional island side, compared with the water-cooled cladding scheme, the technical economy of CFETR fusion power plant with the helium cooled cladding scheme is better. The conceptual design scheme of CFETR fusion power plant has high reference value for the subsequent fusion power generation technology research and engineering design.

Mitochondria are highly dynamic organelles that go through biogenesis, division, fusion, and mitochondrial autophagy. This process refers to mitochondrial dynamics. Evidence from numerous studies suggests that imbalance in mitochondrial dynamics is closely associated with the development of bone-related diseases. Modulation of mitochondrial dynamics may help to provide new ways for prevention and treatment strategy of bone-related diseases. Therefore, this paper reviews the latest research progress in mitochondrial dynamics and bone-related diseases, hoping to provide new ideas for the treatment of bone-related diseases with the aspect of mitochondrial dynamics. [ABSTRACT FROM AUTHOR]

Event cameras are asynchronous sensors that operate in a completely different way from traditional cameras.Rather than catching pictures at a steady rate,event cameras measure light changes (called events) separately for every pixel.As a sequence,it alleviates the problems of traditional cameras in complex light conditions and scenes where objects move at high speed.With the development of convolutional neural networks,learning-based pattern recognition methods have made great progress in visual tasks such as optical flow estimation and target recognition by converting the output of the event camera into a pseudo-ima-ge representation.However,such methods abandon the temporal correlation between the event streams,so that the texture of the pseudo image is not clear enough,and it is difficult to extract the features.The key to solving this problem lies in how to model relevant information between events in the sample.Therefore,a neural network framework based on event stream partition algorithm is proposed,which explicitly integrates the temporal information of event streams.The framework divides the incoming stream of events into several parts,and a weight distribution network assigns different weights to each piece of the streams.Then,the framework uses convolutional neural network to fuse temporal information and extract advanced features.Finally,the input sample is classified.We thoroughly validate the proposed framework on object recognition.Comparison experiments on N-Caltech101 and N-cars datasets show that the proposed framework has a significant improvement in classification accuracy compared with the most advanced existing algorithms.

Text classification is a basic and important task in natural language processing.Most of the text classification methods based on deep learning only focus on a single model structure.The single structure lacks the ability to simultaneously capture and utilize both global and local semantic features.Besides,the deepening of the network will lose more semantic information.In order to overcome the above problems,a text classification model FMNN which is a text classification model fused with multiple neural network is proposed in this paper.The model combines the performances of BERT,RNN,CNN and Attention while minimizing the network depth.BERT is used as the embedding layer to obtain the matrix representation of the text.BiLSTM and Attention are used to jointly extract the global semantic features of the text.CNN is used to extract the local semantic features of the text at multiple granularities.The global semantic features and local semantic features are applied to the softmax classifier respectively.The results are finally fused by arithmetic average.The experimental results on three public data sets and one judicial data set show that the proposed FMNN model achieves higher accuracy rate,and the accuracy rate on the judicial data set reaches 90.31%,which proves that the model has good practical value.

In Tokamak fusion devices, tungsten divertor will be bombarded with low-energy high-flux helium ions, resulting in the formation of fuzzy nanostructures or pinhole-like surface damage on tungsten surface, which degrades the tungsten material properties and affects the steady-state operation of the plasma. It is now generally accepted that helium-induced surface damages are closely related to the formation and growth of helium bubbles under the tungsten surface. After helium irradiation, tungsten will form a high density of small helium bubbles near surface. The coalescence of helium bubbles is one of the major ways for the formation of large helium bubbles. In order to understand the effects of relative position, temperature, He/V and initial spacing of helium bubbles on helium bubble fusion, molecular dynamics method was used to simulate the fusion process of helium bubbles in tungsten. The results show that the coalescence of the helium bubbles is affected by the relative positions of the helium bubbles, the temperature, the helium-to-vacancy ratio (He/V), and the distance between helium bubbles, but the influence mechanism is not the same. Specifically, the relative position of the helium bubbles is the key factor affecting the coalescence of the helium bubbles. When the helium bubbles are arranged along the 〈100〉 direction, they tend to coalesce. In contrast, when they are arranged along the 〈111〉 direction, coalescence is not easy to happen. This is because there is an anisotropic stress field near the helium bubbles. The higher the temperature is, the faster and more sufficient relaxation of the helium bubbles will be obtained, resulting in promoted coalescence. Helium bubbles with higher He/V have higher pressure, so they are more likely to coalesce. When the temperature is 1 500 K, the maximum distance of coalescence is 0.96 nm for two helium bubbles with a radius of 1 nm and a He/V of 3, while the interaction distance between them can reach 1.28 nm or more. This study can promote the understanding of the coalescence mechanism of helium bubbles in tungsten and provide a possible explanation for the formation of large helium bubbles in tungsten. In addition, the results of this study can provide relevant input parameters for large-scale simulations (such as kinetic Monte Carlo, cluster dynamics) to study the long-time evolution of high-density helium bubbles.

Due to the influence of low lightness,the images acquired at dim or backlight conditions tend to have poor visual quality.Retinex-based low-light enhancement models are effective in improving the scene lightness,but they are often limited in hand-ling the over-boosted image noise hidden in dark regions.To solve this issue,we propose a Retinex-based low-light enhancement model incorporating the low-rank matrix approximation.First,the input image is decomposed into an illumination layer I and a reflectance layer R according to the Retinex assumption.During this process,the image noise in R is suppressed via low-rank-based approximation.Then,aiming to preserve the image details in the bright regions and suppress the noise in the dark regions simultaneously,a post-fusion under the guidance of I is introduced.In experiments,qualitative and quantitative comparisons with other low-light enhancement models demonstrate the effectiveness of our method.

With the development of mobile networks and APPs,user generated contents (UGC) containing multi-source heterogeneous data such as evaluations,markings,scoring,images and videos are greatly valuable information for improving the quality of personalized services.The representation learning of fusion and vectorization on the multi-source heterogeneous UGC is the most critical issue for the successful application.Motivated by this,we propose a representation learning method for effectively fusing and vectorizing the comments and image data.We utilize the Doc2vec and LDA models to sufficiently extract the features of the multi-source comments.The images correlated with the comments are represented with deep convolutional network.A hybrid vectorized representation learning for fusing comments and a convolution strategy for integrating images and comments are presented.The feasibility and effectiveness of the proposed method is demonstrated by applying it to typical Amazon public data sets with heterogeneous UGC,in which the vectorized multi-source heterogeneous UGC is taken as the representation of each product and the classification accuracy of the products are compared.

To increase the robustness of the estimation of Haihe River basin precipitation resources, we divided the basin into three regions: windward mountainside, leeward mountainside, and plains. Assistant by the artificial neural network machine learning and consistency correction principle, we constructed a comprehensive multisource fusion dataset of Haihe River basin precipitation from 2001 to 2019. The results showed that the original satellite precipitation products overestimated precipitation in the basin. The fusion dataset present that the average precipitation of the Haihe River basin from 2001 to 2019 was 515.2 mm, and the rainfall resources were 163.94 billion m~3,respectively. The evaluation parameter of the fusion dataset represented a significant improvement in the accuracy of precipitation estimation. The fusion dataset also better explored the spatial distribution of precipitation in the basin and showed that more rainfall was collected in the northeastern, southeastern, southwestern, and west-central regions of the basin, whereas less was collected in the northwestern and east-central areas. Precipitation over the plains regions of the basin showed a distinct spatial pattern, and precipitation on both windward and leeward mountainsides was related to elevation. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Frontiers of Computer Science & Technology is the property of Beijing Journal of Computer Engineering & Applications Journal Co Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Southern Energy Construction is the property of Southern Energy Construction Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Chinese Journal of Liquid Crystal & Displays is the property of Chinese Journal of Liquid Crystal & Displays and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Computer Engineering & Applications is the property of Beijing Journal of Computer Engineering & Applications Journal Co Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Agricultural machinery and equipment are important foundations for transforming agricultural development methods and promoting sustainable agricultural development, as well as are the key areas and core supports for promoting agricultural modernization. In order to clarify the development ideas of agricultural machinery informatization and find the key development directions, and vigorously promote the development of agricultural machinery intelligentization, the development status of foreign agricultural machinery and sensing technology fusion were analyzed in this article, and five major development characteristics: 1) development towarding digitalization, automation and informationization, 2) applying sensing technology to the design and manufacturing of agricultural machinery equipment, 3) rapidly developing of animal husbandry machinery sensing technology, 4) focusing on resource conservation and environmental protection, and sensing technology promoting sustainable agricultural development, and 5) towarding intelligent control, automatic operation and driving comfort development were summarized. Among them, some advanced intelligent agricultural machinery were introduced, including the German Krone BiGX700 self-propelled silage harvester, an automatic weeding and fertilization robot developed by the Queensland University of Technology in Australia—Agbot II, and John Deere CP690 self-propelled baler Cotton machine, etc. After that, the new characteristics of the development of agricultural mechanization in China were summarize, and the viewpoint was pointed out that although the current development of agricultural mechanization in China had achieved remarkable results, there were still problems such as low intelligence and informatization of agricultural machinery, and insufficient fusion of agricultural machinery and informatization. Then the prospects for the development of China's agricultural machinery and sensing technology fusion were put forward, including 1) promoting the development of intelligent perception technology and navigation technology research, 2) promoting the intelligentization of agricultural machinery and equipment, and building an agricultural intelligent operation system, 3) promoting the research of agricultural machinery autonomous operation technology and the construction of unmanned farms, and 4) strengthening the technical standard formulation of agricultural machinery informatization and the training of compound talents. The fusion of agricultural machinery and sensing technology can realize the effective and diversified fusion of agricultural mechanization and sensing technology, maximize the guiding effect of informatization, improve the efficiency of agricultural production in China, and promote the development of digital agriculture and modern agriculture.

Copyright of Journal of Remote Sensing is the property of Editorial Office of Journal of Remote Sensing & Science Publishing Co. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The integration of automation and information technology in in-situ leached uranium mine was studied, and the solutions were put forward: perfecting the original automation system, perfecting the detection system, and designing a dual control method for material level and pressure during resin reverse transportation to improve transportation efficiency. In the designed information system, the data information was analyzed to find multi-source heterogeneity, and the problem of multi-source heterogeneous data fusion was solved by studying data preprocessing, data storage and management, data analysis and mining. C/S and B/S mode were combined to realize information sharing and interaction. Three levels classification, comprehensive protection, depth defense security protection system was builded. Based on the characteristics of information resource hierarchy, an information platform integrating site layer, control layer, management layer and information decision-making layer was designed. Through the integration design of automation and information technology, data sharing and business collaboration were realized, and the efficiency and quality of decision-making and management were improved. [ABSTRACT FROM AUTHOR]

A neutron multiplier must be employed to obtain the proper tritium breeding rate and ensure the self-sustaining combustion of deuterium and tritium in fusion reactors, which represents a new and powerful solution for the energy problem. Several researchers have proposed the use of beryllium, an outstanding nuclear metal, as a promising solid neutron multiplier in the helium-cooled ceramic breeder (HCCB) test blanket module (TBM) of the Chinese TBM program. In this module, beryllium will be subjected to high-dose irradiation with high-energy neutrons during services in reactor to produce a large number of helium ions and significant irradiation damage resulting in extreme performance degradation. Unfortunately, the metal’s low melting point and poor irradiation swelling resistance at high temperatures limit its usage in the DEMO reactor. Thus, finding or developing a new neutron multiplier with a higher melting point and better ability to resist irradiation swelling than beryllium in advanced fusion reactors is an important undertaking. Knowledge of the characteristics of the microstructural changes of beryllium and/or beryllium alloys under irradiation is an important factor contributing to the understanding of the degradation of their physical-mechanical properties. In this study, a new beryllium tungsten alloy (Be12W) with a high melting point was proposed and fabricated by hot isostatic pressing. The phase composition and surface structure of Be12W were then analyzed by X-ray and scanning electron microscopy. The Be12W alloy was irradiated with 30 keV He+ ions at room temperature at a dose of 1×1018 ions·cm−2 and ion fluence of 0.2 μA. Microstructural changes and the types of helium gas-filled blisters that developed on the surface of the alloy after irradiation were subsequently investigated. Blisters with an average size of 0.8 μm and in-plane number density of 2.4×107 cm−2 initially develops, followed by blisters with an average size of about 80 nm and in-plane number density of 1.28×108 cm−2.

Copyright of Geography & Geographic Information Science is the property of Geography & Geo-Information Science Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Management & Business Research (2521-4306) is the property of Chinese Management Association and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With the operation of high-power auxiliary heating systems such as neutral beam injection, low clutter current drive and electron cyclotron resonance heating, the plasma neutron emission intensity can reach 1014 n/s in the experimental facility of experimental advanced superconducting tokamak(EAST), which leads to a significant increase in the neutron photon dose rate in the hall and window area. In order to ensure the safety of staff and maintenance staff, it is necessary to know the radiation dose at different locations in time. Based on the six-wheeled mobile rescue robot chassis, a mobile radiation monitoring robot in EAST experimental hall was developed, which was equipped with X and γ online radiation monitors. The robot built environmental map for autonomous movement through simultaneous localization and mapping(SLAM) or transmitted radiation dose values at different positions in the hall to the upper computer through high-definition image remote control and data transmission system. Through the abnormal dose rate on the inspection path, timely warning can be sent to the nearby staff, so as to ensure the radiation safety of the laboratory personnel and judge the retention time of the field maintenance personnel.

Copyright of Chinese Journal of Inorganic Analytical Chemistry / Zhongguo Wuji Fenxi Huaxue is the property of Beijing Research Institute of Mining & Metallurgy Technology Group and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The existing image sentiment analysis methods pay less attention to the influence of salient object and face on the sentiment expression of images. This paper proposed an image sentiment analysis method based on multi-visual object fusion. Firstly, it detected the salient object and face object area in the whole image. Then, it used the feature pyramid to improve the CNN to recognize the emotion of the salient object, and constructed the weighted loss CNN to identify the emotion of the face based on the multi-layered supervision module. Finally, the salient object sentiment, facial object sentiment and the sentiment directly recognized by the whole image were fused to get the final sentiment classification result. The experimental results show that the sentiment analysis based on multi-visual object fusion is more accurate than the method of directly identifying the whole image. [ABSTRACT FROM AUTHOR]

BACKGROUND: Even pedicle screw fixation system is commonly used in spinal surgery, elderly patients with high bone fragility lack of bone elasticity, insufficient holding power of pedicle screw. Thus, there is a risk of loosening and pulling out the screws, leading to failure of spine reduction and fixation. Thus, we need to explore new method to increase the stability of the pedicle screw system. OBJECTIVE: To explore the long-term effect of pedicle screw internal fixation with bone cement in the treatment of different types of lumbar degenerative diseases with osteoporosis. METHODS: Sixty patients suffering from degenerative spinal disease with the complication of osteoporosis were randomly assigned to control group and trial group (n=30 per group). Before adopting the treatment of bone cement pedicle screw fixation and fusion, all patients had taken pre-operation examination, X-ray, CT and MRI scan. The patients in the control group were treated with conventional pedicle screw technology, and those in the experimental group were treated with bone cement on the basis of the conventional pedicle screw technology. Visual analogue scale score and Oswestry disability index were compared between the two groups 1 day before surgery, 1 week, 6 months, and 1 year after surgery. Complications were observed after surgery to evaluate the effect of the operation. RESULTS AND CONCLUSION: (1) At 1 week, 6 months and 1 year after surgery, the visual analogue scale score and Oswestry disability index were significantly better than those of pre-operation (P < 0.05). Visual analogue scale score and Oswestry disability index were significantly lower at 6 months and 1 year after surgery than those 1 week after surgery (P < 0.05). Visual analogue scale score and Oswestry disability index were significantly lower at 1 year than those at 6 months after surgery (P < 0.05). (2) Visual analogue scale score and Oswestry disability index were better in the trial group than those in the control group at 6 months and 1 year after surgery (P < 0.05). (3) The incidence of internal fixation rod loosening was lower in the trial group than that in the control group. (4) It is concluded that bone cement pedicle screw fixation and fusion in the treatment of degenerative spinal disease with osteoporosis can effectively improve the clinical symptoms and reduce the occurrence of complications. It is safe and effective in clinical application, and the long-term treatment effect is acceptable. [ABSTRACT FROM AUTHOR]

In order to reduce on-line detection error of dust concentration, the basic principles of light scattering method and charge induction method were analyzed, and the limitations of the two methods were revealed. The structure and data of the light scattering subunit and charge induction subunit were fused, and a parallel automatic switching fusion subunit was developed. A dust concentration fusion detection algorithm was proposed. The experimental results showed that the detection error of the fusion subunit was,:;; 11. 3%, 3. 6% smaller than that of the light scattering subunit, and 3. 5% smaller than that of the charge induction subunit. The average calibration resolution of the fusion subunit was 112. 8, 1. 27 times that of the light scattering subunit and 4. 68 times that of the charge induction subunit. The calibration linearity of fusion subunit was the best. It was proved that the fusion technique overcame the limitation of light scattering method and charge induction method, further reduced the detection error and improved the calibration resolution and linearity. [ABSTRACT FROM AUTHOR]

BACKGROUND: Atlantoaxial lateral mass joint fusion cage has always been a focus of research, but its implant operation is too risky. At present, there is no widely used atlantoaxial fusion cage. OBJECTIVE: To investigate the anatomical feasibility of CT image and preliminary design of posterior atlantoaxial interlaminar fusion cage in adults. METHODS: Measurement of atlantoaxial three-dimensional CT of 100 adult cases (50 males and 50 females) was performed, including C1 unilateral posterior arch length, C1 posterior arch width, C2 unilateral lamin length, C2 lamina thickness and the distance of C1 posterior arch higher edge to C2 lamin lower edge. CT measurement data of posterior part of atlantoaxial structure were analyzed, and atlantoaxial interlaminar fusion cage was designed. RESULTS AND CONCLUSION: (1) The C1 unilateral posterior arch length of man and woman was (23.41±1.48) mm and (22.23±1.25) mm respectively, and the C1 posterior arch width was (6.00±0.96) mm and (5.28±0.78) mm respectively, and the C2 unilateral lamin length was (18.54±2.23) mm and (17.31±0.91) mm respectively, and the C2 lamina thickness was (5.12±1.31) mm and (4.98±1.26) mm, respectively. The distance of C1 posterior arch higher edge to C2 lamin lower edge was (32.63±2.76) mm and (31.39±4.04) mm, respectively. (2) There were no statistically significant differences in the bilateral measurement data of different genders (P > 0.05). The C1 unilateral posterior arch length, C1 posterior arch width and C2 unilateral lamin length in men were larger than those in women, and the differences were statistically significant (P < 0.05). There were no statistically significant differences in the C2 lamina thickness and the distance of C1 posterior arch higher edge to C2 lamin lower edge of different genders (P > 0.05). (3) CT measurement data suggested that atlantoaxial interlaminar fusion cage is feasible. (4) Preliminary design of atlantoaxial interlaminar fusion cage was successful, and obtained the national patent. (5) It is suggested that atlantoaxial interlaminar fusion cage has application feasibility and can be used in posterior atlantoaxial screw-rod fixation and fusion to improve the fusion rate of bone graft. [ABSTRACT FROM AUTHOR]

BACKGROUND: Anterior cervical discectomy with fusion is a commonly used surgical approach in clinical practice. However, there is a great controversy on the choice of implants. Three-dimensional printing titanium trabecula material has superior biological characteristics and is very suitable for bone implants. OBJECTIVE: To investigate changes of radiographic parameters in sagittal plane and clinical scores using three-dimensional printing ACT titanium cage in anterior cervical discectomy with fusion. METHODS: A retrospective analysis was conducted in 60 single-segment cervical spondylosis patients undergoing anterior cervical discectomy with fusion. All patients were grouped according to fusion type. The 30 patients in the control group used poly-ether-ether-ketone fusion cage. The 30 patients in the trial group used three-dimensional printing ACT titanium cage. Operation time, intraoperative blood loss, intraoperative C-arm fluoroscopy, Japanese Orthopaedic Association scores, visual analogue scale score for pain as well as neck disability index were recorded. The sagittal parameters of the cervical standing radiographs were measured at pre-operation, 3 days, 3 months after operation and the last follow-up, including height of operation segment, angle of operation segment, C2-7 Cobb angle, C2-7 sagittal vertical axis and T1 slope. The fusion rate of the interbody fusion cage was judged according to the US FDA and Kandziora standards. The correlation among these imaging parameters at various time points was analyzed using Pearson correlation analysis. RESULTS AND CONCLUSION: (1) All cases were followed up for 15 to 49 months. (2) Operation time was shorter, intraoperative blood loss, the number of intraoperative C-arm fluoroscopy were less in the trial group than in the control group. At the last follow-up, the Japanese Orthopaedic Association score increased significantly compared with preoperatively, the visual analogue scale and the neck disability index scores decreased significantly (P < 0.05); there was no significant difference between the two groups. (3) The height of operation segment, angle of operation segment, C2-7 Cobb angle, and T1 slope increased in both groups 3 days and 3 months after surgery and the last follow-up compared with those preoperatively (P < 0.05). At 3 months after surgery and the last follow-up, the height of operation segment, angle of operation segment, C2-7 Cobb angle, and T1 slope were higher in the trial group than in the control group (P < 0.05). (4) Positive correlations were presented between C2-7 Cobb angle and angle of operation segment with T1 slope, angle of operation segment and T1 slope, T1 slope and C2-7 sagittal vertical axis at various time points (P < 0.01). However, negative correlations were found between C2-7 sagittal vertical axis and C2-7 Cobb angle (P < 0.01). (5) Clinical symptoms are relieved, the height and angle of operation segment and cervical curve can be corrected after anterior cervical discectomy with fusion by using both poly-ether-ether-ketone cage and three-dimensional printing ACT titanium cage. The three-dimensional printing ACT titanium cage shortens the operation time, reduces the intraoperative blood loss, the number of C-arm fluoroscopy, and has advantages in maintaining the height, angle of operation segment, and the physiological lordosis of the cervical spine. [ABSTRACT FROM AUTHOR]

Copyright of Forensic Science & Technology is the property of Institute of Forensic Science, Ministry of Public Security and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The communication requirements of electric wireless private network were analyzed,and the core idea of cross-band fusion and wide-narrow integrated wireless private network oriented electric service access was proposed,meeting the needs ofmultiple service access simultaneously,such as high speed broadband services,low delay and high reliability services,as well as wide coverage and large connection services.Research shows that cross band fusion based wireless private network has the advantages of both LTE230 and LTE1800,and it canmeet the needs of broadband and narrowband service access in the power grid.The implementation of the related schemes is necessary and feasible,which provides support foRthe further application of the electric wireless private network.

Ｏｗｉｎｇ ｔｏ ｔｈｅ ｌｉｍｉｔａｔｉｏｎｓ ｏｆ ＲＧＢ-Ｄ ｓｅｎｓｏｒꎬ ｔｈｅｒｅ ｗｉｌｌ ｂｅ ｓｏｍｅ ｓｉｔｕａｔｉｏｎｓ ｗｈｅｒｅ ｔｈｅ ｄｅｐｔｈ ｉｎｆｏｒｍａｔｉｏｎ ｄｏｅｓ ｎｏｔ ｅｘｉｓｔ ｏｒ ｉｓ ｉｎｃｏｍｐｌｅｔｅ ｉｎ ｔｈｅ ｐｒａｃｔｉｃａｌ ａｐｐｌｉｃａｔｉｏｎꎬ ｗｈｉｃｈ ｗｉｌｌ ａｆｆｅｃｔ ｔｈｅ ａｃｃｕｒａｃｙ ｏｆ ＲＧＢ-Ｄ ＳＬＡＭ ｓｙｓｔｅｍ ｔｈａｔ ｍｏｓｔｌｙ ｄｅｐｅｎｄｓ ｏｎ ｔｈｅ ｄｅｐｔｈ ｉｎｆｏｒｍａｔｉｏｎ􀆰 Ａｎ ＲＧＢ-Ｄ ＳＬＡＭ ｏｐｔｉｍｉｚａｔｉｏｎ ｍｅｔｈｏｄ ｉｓ ｐｒｏｐｏｓｅｄ ｔｏ ｆｕｓｅ ｍｏｎｏｃｕｌａｒ ｉｎｆｏｒｍａｔｉｏｎ. Ｔｈｒｏｕｇｈ ｔｈｅ ａｎａｌｙｓｉｓ ｏｆ ｄｅｐｔｈ ｉｍａｇｅꎬ ｔｈｒｅｅ ｊｕｄｇｉｎｇ ｃｏｎｄｉｔｉｏｎｓ ａｒｅ ｐｕｔ ｆｏｒｗａｒｄ ｒｅｓｐｅｃｔｉｖｅｌｙ ｆｒｏｍ ｔｈｅ ｅｘｉｓｔｅｎｃｅꎬ ａｃｃｕｒａｃｙ ａｎｄ ｄｉｓｃｒｅｔｅｎｅｓｓ ｏｆ ｄｅｐｔｈ ｉｎｆｏｒｍａｔｉｏｎꎬ ｗｈｉｃｈ ｃａｎ ｂｅ ｕｓｅｄ ａｓ ｔｈｅ ｂａｓｉｓ ｏｆ ｔｈｅ ｓｅｌｅｃｔｉｏｎ ｏｆ ｍｏｎｏｃｕｌａｒ ｏｒ ＲＧＢ-Ｄ ｐｒｏｃｅｓｓｉｎｇ ｍｏｄｅ. Ｔｈｉｓ ｎｅｗ ｓｙｓｔｅｍ ｍａｋｅｓ ｔｈｅ ＳＬＡＭ ｓｙｓｔｅｍ ｗｉｔｈ ＲＧＢ-Ｄ ｃａｍｅｒａ ｍｏｒｅ ａｃｃｕｒａｔｅ ａｎｄ ｒｏｂｕｓｔ. Ｆｉｎａｌｌｙꎬ ｔｈｅ ｓｙｓｔｅｍ ｉｓ ｃｏｍｐａｒｅｄ ｗｉｔｈ ｏｔｈｅｒ ＳＬＡＭ ｓｙｓｔｅｍｓ ｂｙ ｒｕｎｎｉｎｇ ｄａｔａ ｓｅｔｓꎬ ａｎｄ ｔｈｅ ｅｘｐｅｒｉｍｅｎｔａｌ ｒｅｓｕｌｔｓ ｖｅｒｉｆｙ ｉｔｓ ｆｅａｓｉｂｉｌｉｔｙ. [ABSTRACT FROM AUTHOR]

BACKGROUND: Tibiotalar joint fusion ways are various, and it is a difficulty in necrotic tibiotalar joint fusion. There are few comparative studies on the repair outcomes of each implant. OBJECTIVE: To compare the effectiveness and safety of modified sliding chute bone graft plus hollow screw fixation with simple screw internal fixation and plate internal fixation for tibiotalar joint fusion. METHODS: Fifty-six patients who underwent tibiotalar joint fusion were included, including 16 cases of screw fixation, 22 cases of plate fixation and 18 cases of modified sliding chute bone graft plus hollow screw fixation. Ankle function was compared after simple screw internal fixation, plate internal fixation and modified sliding chute bone graft plus hollow screw fixation. The ankle foot scoring system of American Orthopedic Foot and Ankle Society was used for evaluation. At the same time, the operation time, brace fixation time and fusion time of the three surgical methods were compared. The gait at the last follow-up was compared. The average follow-up time was 2.4 years. The experiment met the ethical requirements of the First Affiliated Hospital of Harbin Medical University. All patients provided written informed consent for study participation. RESULTS AND CONCLUSION: (1) All the patients obtained exactly bony fusion. Compared with the plate fixation group, the slide bone grafting group had significant advantages in the fusion time and the last gait (P < 0.05), and the screw fixation group had significant advantages in the operation time (P < 0.05). (2) Using the ankle foot scoring system of American Orthopedic Foot and Ankle society, there was no significant difference between the sliding chute bone graft group and the plate fixation group, but both groups were significantly better than the screw fixation group (P < 0.05). (3) Adverse events had not been found in each group. (4) These results suggest that modified sliding chute bone graft plus hollow screw fixation for ankle joint fusion can effectively improve ankle joint fusion rate compared with single screw fixation, which is effective and safe. [ABSTRACT FROM AUTHOR]

The traditional matrix decomposition model cannot fully explored the intrinsic relationship between the user and the object in the mean, bias and characteristics. This paper proposed a fitting matrix model to improve the prediction performance by constructing the user and the item matrix to represent the characteristics of the user and the item respectively. The matrix decomposition model had the advantage of accuracy in the field of recommender system, but the gradient descent method, which was the most popular method to train parameters of model, had a slow convergence speed. To resolve the above defects, this paper considered to accelerate the convergence speed using the convergence of quasi Newton method, and named the proposed algorithm as fitting matrix and two orders fusion iterative (FAST) algorithm. The experimental results show that the FAST algorithm is better than the traditional non negative matrix decomposition (NMF), singular value matrix decomposition (SVD), and the regularized singular value matrix decomposition (RSVD). FAST algorithm has a decrease with regard to the mean absolute error (MAE) and the root mean square error (RMSE), and has a significant improvement in the iterative efficiency, which alleviates the problem that the accuracy is difficult to balance with the efficiency of the iteration. [ABSTRACT FROM AUTHOR]